OPTALI · Optimization and its Applications in Learning and Industry
FP7 — People (Marie Curie Actions)
- Duration
- 2010-12-01 → 2015-11-30
- EU contribution
- €203,400
- Participants
- 3
- Scheme
- MC-IRSES
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Results in brief
Optimization and its Applications in Learning and Industry
Mathematical programming is often considered as optimization without applications. OptALI aims to motivate research activities in optimization by solving real-world problems and to make optimization models and techniques work in practice. Each of the participating sites recognized that such a transfer is an important goal for the mutual benefit of researchers and practitioners. Each site has found pathways to overcome obstacles and to make optimization work in practice within their own national environment in many examples of university-industry collaboration. In OptALI we join forces and learn from each other to jointly push the boundaries of optimization towards practice. In order to achieve this goal we share our knowledge, enhance the study program of our young researchers, establish an international research environment and raise the transfer of optimization methods to real-world applications by sharing our knowledge and experience within applied projects. The main achievements of OptALI are: * Postgraduate research: 35 young researchers had the opportunity to work on applied optimization abroad and in strong cooperation with other researchers for several months. Together with them we obtained new results on robust optimization, transportation, health care, evacuation, and scheduling which is reflected in numerous papers and conference talks. * Teaching: The participating experienced researchers shared nearly 60 lectures to lay the fundamental knowledge in integer programming, multicriteria optimization and robustness. We set up a study program and an excellent environment for performing international research which was in particular beneficial for young researchers and PhD students. Two summer schools (on "Integer Programming" in Auckland, 2011 and on "Robust Optimization" in Göttingen, 2012) were organized and open also for other PhD students. * Linkages to real-world applications: Working in applied optimization is enhanced by cooperation with industry. We shared experiences, contacts and identified new and interesting problems. Two industry days (in Auckland, 2015 and in Copenhagen, 2015) further established these cooperations. Summarizing, OptALI established long-term and reliable cooperations in the field applied optimization. Contact details: Prof. Anita Schöbel, University of Göttingen, Lotzestrasse 16-18, 37085 Göttingen
Data: CORDIS, © European Union
Project objective
The aim of our proposal is to enhance and extend existing networks with the goal to develop and transfer optimization models and solution techniques from theory to practice.Since this step is often neglected in academic optimization theory there is the need to motivate research by real world problems in order to bridge the current gap between theory and practice. Each of the participating sites recognized that such a transfer is an important goal for the mutual benefit of researchers and practitioners. Each site has found pathways to overcome obstacles and to make optimization work in practice within their own national environment in many examples. We now want to join forces and learn from each other's expertise in order to jointly push the boundaries of optimization further towards practice in an international context.The goal will be achieved by a long-term cooperation in which we will share our knowledge about modelling, solving and implementing solutions to real-world problems within a continuing series of lectures, courses, seminars, and project works. In order to increase the impact of our cooperation we will in this proposal also focus on early-stage researchers and PhD students who will help spreading our ideas and techniques to industry and in this way contribute to a long lastingcooperation. Starting from case studies and project work which already has been done at any one of the participating sites we will identify new mathematical challenges stemming from real-world applications. This will enforce high-level research in these areas which will be carried out together with the participating PhD students on an international basis. In order to make our research results visible we will collect and publish case studies and project work and present the major results to industry in special workshops. We expect that this motivates international cooperation not only between universities but also between academics and industry.
Original text from CORDIS.
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Data: CORDIS, © European Union
